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Data Analyst with 1+ years in Power BI, SQL, and Business Intelligence.
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Data Analyst / BI Analyst with 1.5+ years of experience specializing in Power BI dashboard development, SQL analytics, data modeling, and business intelligence reporting. Strong expertise in building scalable BI solutions using Power BI, DAX, and Power Query with a focus on KPI design, data validation, and reporting accuracy. Experienced in translating business requirements into structured metrics and dashboards, performing data validation across multiple sources, and optimizing reporting performance. Skilled in SQL (BigQuery, PostgreSQL), ETL workflows, and data warehousing concepts. Strong ability to collaborate with stakeholders to define KPIs and deliver actionable insights for business decision-making.
Orchid International College
Bachelor of Science · Computer Science and Information Technology (BSc CSIT)
August 1, 2018 – June 30, 2022
Shikshadeep College
High School
June 1, 2016 – May 31, 2018
Pathao Nepal
Data Analyst
August 1, 2024 – March 1, 2026
Kathmandu, Bagmati Zone, Nepal
Ride Sharing Analytics Dashboard
June 1, 2026 – Present
Developed an end-to-end Power BI dashboard analyzing ride-sharing trips across cities. Designed a Star Schema data model to support scalable and optimized reporting structure. Created DAX measures including KPIs, time intelligence, and operational metrics. Used Power Query for data cleaning, transformation, and preparation of analytical datasets. Built interactive dashboards with slicers, drill-through, and multi-page storytelling for business insights. Identified insights on revenue trends, peak hours, driver performance, and customer behavior.
Customer Segmentation & Retention Analysis Using RFM
June 1, 2026 – Present
Designed ETL workflows to process transactional datasets and calculate Recency, Frequency, and Monetary metrics. Built structured analytical datasets for segmentation and retention strategy development. Generated actionable customer behavior insights to support retention and targeted marketing initiatives.
Business Intelligence KPI Dashboard
June 1, 2026 – Present
Designed and developed interactive dashboards to monitor operational and business KPIs across multiple service categories. Integrated and transformed large datasets from multiple data sources for centralized reporting and analysis. Improved visibility into operational performance and supported data-driven business decision-making.
Automated ETL & Reporting Workflow
June 1, 2026 – Present
Built Python-based automation workflows to consolidate and process data from multiple Google Sheets and operational sources. Designed data transformation and validation pipelines before loading datasets into reporting dashboards. Reduced manual reporting effort and improved reporting efficiency and reliability.
Item Recommendation System
June 1, 2026 – Present
Built a recommendation system using Python to generate personalized item suggestions based on historical interaction data. Performed feature engineering, similarity calculations, and dataset preprocessing using Pandas and NumPy. Demonstrated recommendation techniques for personalization and customer engagement improvement.
OCR-based Product Data Extraction
June 1, 2026 – Present
Developed a Python-based OCR pipeline to extract structured product information from images and scanned documents. Applied image preprocessing, text extraction, and automated data cleaning to generate structured, database-ready outputs. Reduced data entry effort by automating product information extraction.
Data Analytics Essentials
Unknown
June 1, 2026 – Present
IBM Data Analyst Professional Certificate
IBM
June 1, 2026 – Present
Applied Data Science Lab
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including ride-sharing analytics, customer segmentation, and recommendation systems, indicates a broad interest in applying data analysis to various business problems. The experience at Pathao Nepal aligns well with the target role of Data Analyst, showcasing practical application of BI and analytics skills in a real-world setting. The certifications further demonstrate a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, attention to data validation and reporting accuracy, and the ability to translate business needs into technical solutions. Collaboration with cross-functional stakeholders is also highlighted, indicating good operational fit for a data-driven team.